peplot.py

# -*- coding: utf-8 -*-
"""peplot.ipynb

Automatically generated by Colaboratory.

Original file is located at
    https://colab.research.google.com/drive/1aeWIHKh12Ftd7PhhnUBTx1zwvYstIdoM
"""

import matplotlib.pyplot as plt
anos = [2005,   2007,   2009,   2011,   2013,   2015,   2017,   2019,   2021]
med = [2.6, 3.1, 3.3, 3.6, 3.8, 4.2, 4.3, 4.6, 4.5]
plt.scatter(anos, med, color='b')
plt.plot(anos,med,color='b')
plt.xlabel("Anos")
plt.ylabel("IDEB (média)")
plt.xticks(anos)
plt.grid()

import matplotlib.pyplot as plt
anos = [2005,	2007,	2009,	2011,	2013,	2015,	2017,	2019,	2021]
med = [2.6,	3.1,	3.3,	3.6,	3.8,	4.2,	4.3,	4.6,	4.5]
err = [0.4687651816,	0.5033269535,	0.5696707306,	0.5938571208,
       0.6734233743,	0.6660568601,	0.7145699189,	0.7401894213,	0.6577808485]
plt.scatter(anos, med, color='b')
plt.plot(anos,med,color='b')
plt.xlabel("Anos")
plt.ylabel("IDEB (média)")
plt.grid()
plt.xticks(anos)
plt.errorbar(anos, med, err, linestyle='None', capsize=5, color='r')

import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
df = pd.read_csv('/content/drive/MyDrive/Colab Notebooks/DFPE.csv', decimal=',')
x = ['2005','2007','2009','2011','2013','2015','2017','2019','2021']
data = df[x]
def ano(a):
  y=[]
  for i in range(2,480):
    s=float(data[a][i].replace(',','.').replace('-','0'))
    if(s!=0.0):
      y.append(s)
  return y
v=[ano('2005'), ano('2007'), ano('2009'), ano('2011'), ano('2013'),
   ano('2015'), ano('2017'), ano('2019'), ano('2021')]
plt.grid()
plt.boxplot(v, labels=x)
plt.xlabel('Anos')
plt.ylabel('IDEB')
plt.show()